Abstract
A novel multidisciplinary design optimization based on Game Theory is proposed in this paper. Game Theory studies strategic situations, and Nash equilibrium is one of the best important concepts of it. Nash equilibrium theory is applied to model the relations among the design players, the design variable and object have been regarded as the game decision-space and game side; the response of system has been looked as the payoff. The method allows that each discipline adopts its own design optimization technique, and need not systematic coordination. So it reduces the calculation task and improves operational efficiency. At last an example has been chosen to test the novel method by using iSIGHT: a gear reducer box design problem. The result shows that the new method is easy to be realized on computer and gets a better optimized result than collaborative optimization (CO) method. The new method is feasible.
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Wen, Q., Song, B. (2011). Multidisciplinary Design Optimization Based on Game Theory. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23220-6_18
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DOI: https://doi.org/10.1007/978-3-642-23220-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23219-0
Online ISBN: 978-3-642-23220-6
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